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SAS Data Management

SAS Data Management

Overview

What is SAS Data Management?

A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.

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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 11 features
  • Connect to traditional data sources (10)
    8.6
    86%
  • Connecto to Big Data and NoSQL (9)
    8.1
    81%
  • Integration with data quality tools (9)
    7.6
    76%
  • Simple transformations (8)
    6.1
    61%
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Features

Data Source Connection

Ability to connect to multiple data sources

8.3
Avg 8.2

Data Transformations

Data transformations include calculations, search and replace, data normalization and data parsing

6.7
Avg 8.4

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

6.7
Avg 8.2

Data Governance

Data governance is the practise of implementing policies defining effective use of an organization's data assets

7.9
Avg 8.2
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Product Details

What is SAS Data Management?

A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.

Included Data Preparation solutions streamline data workflows and execute ELT, supporting data pipelines to ingest, transform and serve high-quality data with a low-code self-service visual designer. And governance solutions help users to ensure regulatory compliance.

SAS Data Management Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

A suite of solutions for data connectivity, enhanced transformations and robust governance. Solutions provide a unified view of data with access to data across databases, data warehouses and data lakes. Connects with cloud platforms, on-premises systems and multicloud data sources.

Reviewers rate Connect to traditional data sources highest, with a score of 8.6.

The most common users of SAS Data Management are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(36)

Attribute Ratings

Reviews

(1-7 of 7)
Companies can't remove reviews or game the system. Here's why
Filippo Orlando | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Incentivized
The product is best when combined with the other products of the SAS suite. In particular, it's great for the preparation, analysis and display of the data if it is carried out with the products indicated above. When it is combined with products other than those of the SAS suite, the integration and solution of the issues are complex.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
SAS Data Management Platform requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres. Has almost all features present as compared to the alternatives we evaluated. On top of it, SAS offered statistical transformations and strong metadata management. SAS Data Management Platform was also the most cost-effective solution despite having to purchase a couple of connectors for SAP and Salesforce. The easy of applying security templates was also a feature that can be easily used as compared to others mentioned.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
SAS integration is not easy because there are various PAM related modules which require additional vendor involvement. Overall once all integrations are set up, it's a great tool and provides multiple options to users for running their model.
February 28, 2018

Trustworthy and Powerful

Donald Wildeboer | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Because SAS Data Integration Studio is the third party it seems to work equally well with all our systems. That is to say that it doesn't really work better with Microsoft or Oracle but really just seems to work equally well with all of them. It has a very powerful back-end that allows us to transform and load our data quickly and efficiently programmer time wise.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Datastage
Datastage might be the closest one. Being a full ETL tool, it's weird to compare both. Datastage might be more robust for extraction but it lacks the simplicity that the end users need for everyday data extract and analysis.
September 22, 2017

Access Your Data

Nikardi Jallah | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
SAS/Access can work well with MySQL. There are some coding differences between the two, for example how missing values are handled or rules for variable names. MySQL has simpler coding, but if you are familiar with Base SAS, it is not too difficult to learn. With SAS/Access the user has more freedom with formatting the databases from the data source that they are pulling from. Also, modeling and analysis is easier in SAS. SQL does not do much with graphics or modelling.
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